Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET
Title | Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Lahrouni, Youssef, Pereira, Caroly, Bensaber, Boucif Amar, Biskri, Ismaïl |
Conference Name | Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-5163-8 |
Keywords | attack detection, attack mitigation, Collaboration, cyber physical systems, DoS attack, logistic regression, MANET, mathematical models., Metrics, Neural Network, neural networks security, policy, policy-based governance, Policy-Governed Secure Collaboration, pubcrawl, resilience, Resiliency, security, VANET |
Abstract | VANET network is a new technology on which future intelligent transport systems are based; its purpose is to develop the vehicular environment and make it more comfortable. In addition, it provides more safety for drivers and cars on the road. Therefore, we have to make this technology as secured as possible against many threats. As VANET is a subclass of MANET, it has inherited many security problems but with a different architecture and DOS attacks are one of them. In this paper, we have focused on DOS attacks that prevent users to receive the right information at the right moment. We have analyzed DOS attacks behavior and effects on the network using different mathematical models in order to find an efficient solution. |
URL | http://doi.acm.org/10.1145/3132062.3132065 |
DOI | 10.1145/3132062.3132065 |
Citation Key | lahrouni_using_2017 |